Publication2026
Comparative Analysis of Machine Learning Approaches for Automated Detection of AI-Generated Text in Academic Content
The record
- Type
- Publication
- Date
- 1 January 2026
- Level
- National
- Journal
- Esic 2026 Proceedings 6th International Conference on Emerging Systems and Intelligent Computing
- Pages
- 748-753
- Published
- 1 January 2026
- DOI
- 10.1109/esic68176.2026.11495939
- Scopus ID
- 105040809139
- Authors
- 4
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
4 Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all
Proposes tiered AI-detection framework explicitly designed for educational settings to support academic integrity and content verification.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Develops novel machine learning methodology combining BERT and hybrid models to advance detection accuracy for identifying AI-generated academic texts.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1.1 Education and lifelong learning
Enhances educational capability through technological innovation in academic assessment and content authentication systems.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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Provenance
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Comparative Analysis of Machine Learning Approaches for Automated Detection of AI-Generated Text in Academic Content”. Kortex.
